Lead Data Engineer / Architect (all genders) 1
This role requires designing and scaling a Security Data Platform with a focus on fraud and threat detection pipelines, requiring deep expertise in data architecture and observability solutions. The candidate will lead end-to-end data management, ensuring robust ingestion, processing, and serving of high-impact security datasets for global healthcare applications.
Skills required
About this role
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
Your role:
We are seeking a highly skilled Lead Data Engineer / Data Architect with a strong developer background to design, build, and operate our Security Data Platform. This role will focus on end-to-end data management, design and architect analyzation, ingestion, normalization, storage, processing, and serving the solutions. The primary emphasis will be on Security Data and Observability Data, serving as the foundation for fraud and threat detection, detection engineering, and response through different types algorithms and machine learning approaches. Additionally, the platform will provide observability for the entire application landscape, facilitating troubleshooting and reporting.
Key Responsibilities:
- Lead a team of engineers and developers in the implementation of the Data Platform.
- Design and architect data ingestion, normalization, storage, processing, and serving solutions.
- Ensure the Data Platform supports observability across the application landscape.
- Collaborate with cross-functional teams to gather requirements and deliver effective data solutions.
- Monitor and optimize platform performance, scalability, and security.
Who you are:
- Bachelor's or master’s degree in computer science, Data Engineering, or a related field.
- Demonstrated experience in designing and implementing large-scale data platforms. (Expertise in programming languages such as Java and Python is a plus)
- Proven experience with Kubernetes for container orchestration.
- Strong knowledge of Apache Kafka for real-time data streaming and experience with Apache Flink for stream processing.
- Experience with analytical databases (e.g. OLAP) and Massively Parallel Processing MPP architectures, especially in the context of optimization and performance tuning
- Familiarity with lakehouse architectures (e.g. Apache Iceberg) - Experience with MLOps and ML model delivery pipelines
- Knowledge of Elasticsearch to support migration to alternative solutions
- Excellent leadership and team management skills, Project Management skills is a plus
- Strong analytical and problem-solving skills and ability to work collaboratively in a fast-paced environment.
- Hands-on experience in projects using or applying machine learning
Our Tech Stack
Kubernetes, Apache Kafka, Apache Flink, Java, Python, TypeScript, Postgres, Apache Doris, Grafana.
Salary starts at 3.000 EUR and is dependent upon relevant experience.
The initial interviews will be conducted remotely, the final interview will be held in person.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
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